Object Classification

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Period ending 2026-09-21

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  1. FoleySet: A Multi-Level Human-Annotated Foley Sound Dataset

    Jun 24, 2026Sunshiyu Wang, Alexander LerchSonificationObject Classification

  2. DSP-SLAM++: A Unified Framework for Multi-Class, High-Fidelity Object SLAM in the Wild

    Jun 24, 2026Ahmad Kourani, Ghina Daoud, Daniel Asmar +1Orb-Slam2Simultaneous Localization And Mapping

  3. Predicting Fruit Quality with a Hybrid Machine Learning and Image Processing Approach

    Jun 24, 2026Amir Reza Hashemi, Shahram AmiriFruitImage Processing

  4. Brain-Adapter: A Dual-Stream Vision-Language MIL Framework for Comprehensive 3D CT Diagnosis of Acute Intracranial Pathologies

    Jun 22, 2026Zhenyu Yi, Zhiyun Song, Yusong Sun +6Medical Vision-Language ModelsComputed Tomography Dataset

  5. Beyond Flat Labels: Level-Restricted Contrastive Learning for Hierarchical Fine-Grained Vision Classification

    Jun 20, 2026Zhiyuan Tao, Srikumar Sastry, Matthew J Thompson +9Contrastive LearningFine-Grained Perception

  6. A new classification method based on Minimum Spanning Trees

    Jun 19, 2026Julio González-Díaz, Beatriz Pateiro-López, Iria Rodríguez-AcevedoImage ClusteringUnsupervised

  7. NoduLoCC2026: Lung Nodule Localization and Classification Contest from Chest X-Ray Images

    Jun 19, 2026Adnan Mustafic, Halim Benhabiles, Adnane Cabani +19Lung-Nodule DetectorChest X-Ray

  8. Which Sections of a Research Paper Best Reveal Its Research Methods? Evidence from Library and Information Science

    Jun 17, 2026Qiuyu Fang, Jiayi Hao, Chengzhi ZhangReal Datacite DoisAcademic Papers

  9. NeuralMUSIC: A Hybrid Neural-Subspace Framework for Robot Sound Source Localization

    Jun 17, 2026Yizhuo Yang, Junqiao Fan, Shenghai Yuan +1Sound Source LocalizationRobot Systems

  10. BCL: Bayesian In-Context Learning Framework for Information Extraction

    Jun 17, 2026Haoliang Liu, Chengkun Cai, Xu Zhao +7In-Context LearningBayesian

  11. MOLAR: Learning Multimodal Molecular Representations from Noisy Labels

    Jun 16, 2026Yingxu Wang, Kunyu Zhang, Nan Yin +2Noisy LabelsMulti-Label Classification

  12. Meta-classification of one-class classification models using ranking correlation and nearest neighbor

    Jun 16, 2026Toshitaka Hayashi, Hamido Fujita, Dalibor Cimr +2Binary ClassificationMachine Learning

  13. Bounding Box Label Propagation for Re-Annotation of Document Layout Analysis Datasets

    Jun 16, 2026Nick Jochum, Tobias Alt-Veit, Christian Schön +3Bounding BoxPseudo-Labeling

  14. Spatio-Temporal Fusion Model for Standard View Classification of Echocardiographic Videos

    Jun 16, 2026Bo Gou, Jicheng Zhang, Jianlong Xiong +9EchocardiographySpatiotemporal Representations

  15. Phenotyping TPF via Self-Supervised Learning: A Label-Agnostic Framework with Expert Validation

    Jun 15, 2026Miral Elnakib, Muhammad Saad, Ahmad Al-KabbanyPseudo-LabelingPixel-Level Annotation

  16. Distilling Examples into Task Instructions: Enhanced In-Context Learning for Real-World B2B Conversations

    Jun 14, 2026Guy Rotman, Adi Kopilov, Danit Berger Zalmanson +1In-Context LearningFew-Shot Learning

  17. EcoBin: A Two-Stage Deep Convolutional Neural Network for Contamination-Aware Waste Classification

    Jun 14, 2026Raghav Senthil KumarWasteObject Classification

  18. LLMs on Tabular Data with Limited Semantics: Evidence from Industrial Car Retrofit Prediction

    Jun 13, 2026Aina Vila Pons, Ioannis Tzachristas, Constantinos AntoniouTabular DataPredictive Maintenance

  19. FlexPooling with Simple Auxiliary Classifiers in Deep Networks

    Jun 12, 2026Muhammad Ali, Omar Alsuwaidi, Salman KhanConvolutional Neural NetworksDeep Network

  20. The Geometry of Saturation: Effective Rank Predicts When Labels Stop Helping in Few-Shot Classification

    Jun 12, 2026Arnav GuptaBinary ClassificationSaturation

  21. Evaluation Sovereignty in Metadata-Driven Classification: A Multi-Track Framework for Weakly Supervised Information Systems

    Jun 11, 2026Raymond VasquezEvaluation MetricsMulti-Label Classification

  22. Decoding Insect Song: A Multitask Semisupervised Orthoptera Bioacoustic Classifier

    Jun 11, 2026Olga Isupova, Danil Kuzin, Ella Browning +2Passive Acoustic MonitoringBees

  23. Cascade Classification of Dermoscopic Images of Skin Neoplasms with Controllable Sensitivity and External Clinical Validation

    Jun 11, 2026Elena S. Kozachok, Sergey S. Seregin, Aleksandr V. Kozachok +2Skin Lesion ClassificationObject Classification

  24. sebis at CRF Filling 2026: A Two-Stage Local LLM Pipeline for Medical CRF Filling

    Jun 11, 2026Katharina Sommer, Tristan Till, Florian MatthesMedical Report GenerationLarge Language Model Pipelines

  25. Multi-Label Test-Time Adaptation with Bayesian Conditional Priors

    Jun 11, 2026Qiru Li, Ao Zhou, Zhiwei Jiang +4Vision-Language Model AdaptationMulti-Label Classification

  26. Adapting Vision-Language Models from Iconic to Inclusive for Multi-Label Recognition Without Labels

    Jun 10, 2026Cheng Chen, Jingyu Zhou, Yifan Zhao +1Vision-Language Model AdaptationMulti-Label Classification

  27. SceneMiner: Identity-Preserving Multi-Task Fine-Tuning for Unified BEV Scene Mining

    Jun 9, 2026Abdalmalek Aburaddaha, Venkatraman Narayanan, Keval Thaker +1Scene RepresentationMulti--Task Learning

  28. End-to-End Optimization of Incoherent Imaging for Classification Under Detector-Limited Readout

    Jun 8, 2026Archer Wang, Joshua Chen, Sachin Vaidya +1Image ClassificationObject Classification

  29. New Fractional Ambiguity Function Integrated with CNN-Based Machine Learning for Signal Classification

    Jun 6, 2026Aamir H. Dar, Prakhar Kumar Sonkar, Neeraj Kumar SharmaTime-FrequencyFourier

  30. Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification

    Jun 5, 2026Sercan Karakaş, Yusuf ŞimşekIn-Context LearningBinary Classification

  31. REMEDI: A Benchmark for Retention and Unlearning Evaluation in Multi-label Clinical Disease Inference

    Jun 5, 2026Anurag Sharma, Sai Teja Chunchu, Prasenjit Mitra +2Unlabeled DataDisease Detection

  32. Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces

    Jun 5, 2026Debjyoti Saha Roy, Byron C. Wallace, Javed A. AslamMulti-Label ClassificationCharacterization

  33. Addressing Imbalance in Multi-Label Data via Label-Specific Distance-based Oversampling

    Jun 4, 2026Bin Liu, Jun Wu, Haoyu Peng +4OversamplingMulti-Label Classification

  34. Domain-Adapted Small Language Models with Hybrid Post-Processing: Achieving Cost-Efficient, Low-Latency Multi-Label Structured Prediction via LoRA Fine-Tuning on Scarce Data

    Jun 4, 2026Srinivasan Manoharan, Dilipkumar Nallusamy, Sachin Kumar +1Low-Rank AdaptationData Scarcity

  35. An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks

    Jun 4, 2026Mohammad Tariq Ikhlas, Pohanyar Khowaja Khil, Malik Muhammad Mueed Aslam +1Intrusion DetectionInternet Of Thing

  36. An Open-Source Two-Stage Computer Vision Pipeline for Fine-Grained Vehicle Classification using Vision Transformers

    Jun 3, 2026Gandhimathi Padmanaban, Fred FengRobust Vehicle RecognitionComputer Vision

  37. The price of multi-group transductive learning

    Jun 3, 2026Noah Bergam, Samuel Deng, Daniel HsuTransductive Active LabelingMulticlass Classification

  38. What Makes Majority Illusion Easy to Detect?

    Jun 2, 2026Šimon Schierreich, Ildikó SchlotterSocial InfluenceComplex Networks

  39. MimeLens: Position-Agnostic Content-Type Detection for Binary Fragments

    Jun 2, 2026Michael J. BommaritoMalware DetectionMachine-Generated Text Detection

  40. Linear Strategic Classification with Endogenous Improvements

    May 31, 2026Siddharth Shrivastava, Mahvith Akshintala, B Vamsha Vardhan Reddy +3Object ClassificationLearning-Augmented Algorithms

  41. HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces

    May 31, 2026Nasib Ullah, Jinbin Zhang, Jean Lucien Randrianantenaina +2SparsityMulti-Label Classification

  42. Demystifying the Optimal Fair Classifier in Multi-Class Classification

    May 30, 2026Li Zhang, Yuyuan Li, XiaoHua Feng +3Fairness-Aware LearningMulticlass Classification

  43. Improving Selective Classification with Pairwise Queries for Binary Classification

    May 28, 2026Harsh Vardhan, Sunav Choudhary, Natwar Modani +1Binary ClassificationConfidence Estimation

  44. AI for Monitoring and Classifying Data Used in Research Literature

    May 28, 2026Rafael Macalaba, Aivin V. SolatorioCitationsAcademic Papers

  45. Knowledge Graph-Enhanced Zero-Shot Topic Classification: A Multi-Strategy Comparative Study

    May 28, 2026Shahana Akter, Yatharth Vohra, Ankita Shukla +1Multi-Label ClassificationObject Classification

  46. CalArena: A Large-Scale Post-Hoc Calibration Benchmark

    May 28, 2026Eugène Berta, David Holzmüller, Francis Bach +1Multicalibration and CalibrationPost-Hoc

  47. The Sample Complexity of Multiclass and Sparse Contextual Bandits

    May 28, 2026Liad Erez, Fan Chen, Alon Cohen +4Linear Contextual BanditsSample Complexity

  48. Principled Algorithms for Optimizing Generalized Metrics in Multi-Label Learning

    May 27, 2026Mehryar Mohri, Yutao ZhongMulti-Label ClassificationEmpirical Risk Minimization

  49. Conveyance: A Versatile Framework for Learning in Structured Class Spaces

    May 27, 2026Yasser Taha, Grégoire Montavon, Nils KörberMulticlass ClassificationCross-Entropy Losses

  50. FedMPT: Federated Multi-label Prompt Tuning of Vision-Language Models

    May 27, 2026Xucong Wang, Pengkun Wang, Zhe Zhao +3Vision-Language Model AdaptationMulti-Label Classification

  51. SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about Laughter

    May 27, 2026Lee Jung-Mok, Kim Sung-Bin, Joohyun Chang +2HumorMulti-Modal Large Language Models

  52. Proper Agnostic Learning of Functions of Halfspaces under Gaussian Marginals

    May 26, 2026Sergei Tikhonov, Arsen VasilyanOptimal Sample ComplexityBinary Classification

  53. TADDLE: A Tool-Augmented Agent for Detecting Deficient LLM-Generated Peer Reviews

    May 26, 2026Hanqi Duan, Xiang LiPeer ReviewReview

  54. Personalized Generative Models for Contextual Debiasing

    May 25, 2026Xinran Liang, Esin Tureci, Prachi Sinha +3Synthetic Data AugmentationGenerative Models

  55. Sleep-stage efficient classification using a lightweight self-supervised model

    May 25, 2026Eldiane Borges dos Santos Durães, João Batista FlorindoSleep Stage ClassificationSleep

  56. [CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation

    May 25, 2026Akang Wang, Xili Deng, Zhanxuan Hu +3Vision-LanguageVision Encoders

  57. Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution

    May 25, 2026Hongtao Wang, Renchi Yang, Haoran Zheng +1Code Property GraphsMulti-Label Classification

  58. PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting

    May 25, 2026Steve Hanneke, Qinglin Meng, Shay Moran +1Optimal Sample ComplexitySample Complexity

  59. TypedCSIP: Typed Counterfactual Pretraining for Chinese Legislative Conflict Classification

    May 25, 2026Yao LiuConflictCounterfactual Learning

  60. From Theory to Decision Rule: Calibrating the Noisy-Label Crossover for Vision-Language Model Weak Supervision Across Three Medical-Imaging Benchmarks

    May 23, 2026Bruce Changlong Xu, Jose James, Alexander RyuWeak SupervisionNoisy Labels